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, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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, diet, and immune system to investigate their roles in various diseases, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large
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for agriculture, offering a key solution for Europe's climate and energy transitions. Conventional ammonia synthesis via the Haber-Bosch process is operated at large scale (over 160 million tons
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. Experience with large-scale omics data analysis and programming (R or Python). Proven track record of high-quality publications. Experience with molecular biology techniques (e.g., cell culture, CRISPR, NGS
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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analyzing publicly available data on employment, education and higher education residing in large federal data sets (e.g., Census data, NCES data). Conducts research and prepares project-related technical
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effectively with individuals of different backgrounds. May require working evenings and/or weekend hours. Salary: Compensation will be commensurate based on the selected candidate's education and experience
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites